Pilar Prieto

42 papers and 1.4k indexed citations i.

About

Pilar Prieto is a scholar working on Small Animals, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics. According to data from OpenAlex, Pilar Prieto has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Small Animals, 17 papers in Health, Toxicology and Mutagenesis and 10 papers in Computational Theory and Mathematics. Recurrent topics in Pilar Prieto’s work include Animal testing and alternatives (27 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Computational Drug Discovery Methods (10 papers). Pilar Prieto is often cited by papers focused on Animal testing and alternatives (27 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Computational Drug Discovery Methods (10 papers). Pilar Prieto collaborates with scholars based in Italy, Germany and United Kingdom. Pilar Prieto's co-authors include Agnieszka Kinsner‐Ovaskainen, Thomas Härtung, Sebastian Hoffmann, Andrew Worth, Sandra Coecke, Anna Bulgheroni, Raffaella Corvi, Valérie Zuang, Susanne Bremer and Silvia Casati and has published in prestigious journals such as The Science of The Total Environment, Journal of Leukocyte Biology and Glia.

In The Last Decade

Co-authorship network of co-authors of Pilar Prieto i

Fields of papers citing papers by Pilar Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pilar Prieto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pilar Prieto. The network helps show where Pilar Prieto may publish in the future.

Countries citing papers authored by Pilar Prieto

Since Specialization
Citations

This map shows the geographic impact of Pilar Prieto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pilar Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar Prieto more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025